Absolute position data (605) of a machine are determined for respective multiple times (t.1, t.3, t.5, t.8, t.11), and odometry position data of the machine are also determined. A pose graph (661) is generated, wherein edges (672) of the pose graph (661) correspond to the odometry position data, and nodes (671) of the pose graph (661) correspond to the absolute position data (605). The pose graph (661) is optimized to obtain an estimated position. Optionally, the odometry can also be estimated. A driver assistance functionality of the machine, for example a motor vehicle, can be controlled optionally on the basis of the estimated position. For example, the driver assistance functionality can relate to autonomous driving.

A method of correction of odometry errors during the autonomous drive of a wheel-equipped apparatus having a drive mechanism operatively connected to at least two drive wheels, at least one pivoting wheel operatively connected to a sensor and a control unit operatively connected to the drive mechanism and to the sensor, the method including: an acquisition phase, wherein the sensor acquires an angle of rotation of the at least one pivoting wheel with respect to an axis of rotation substantially perpendicular to a rest surface of the at least one pivoting wheel; a generation phase, wherein the control unit generates a corrective signal that controls the drive mechanism in such a way as to independently operate the at least two drive wheels on the basis of the angle of rotation of the at least one pivoting wheel.

A system of a motor vehicle includes a radar unit for generating a radar signal associated with a target positioned about the vehicle. The system further includes a tracker generating a tracker signal associated with a radar heading and a doppler based on the radar signal. The system further includes a wheel speed sensor for generating a wheel speed signal associated with a velocity of the vehicle. The system further includes a gyroscope for generating a gyro signal associated with a measured yaw rate. The system further includes a computer having a processor and a computer readable medium. The processor is programmed to determine a gyro drift and a corrected yaw rate while the vehicle is in motion, with the gyro drift and the corrected yaw rate being based on at least the radar heading, the doppler effect, and the velocity of the vehicle, and the measured yaw rate.

A hub-mountable wheel-rotation detector has an electromagnetic generator to convert rotational mechanical energy into electrical energy sufficient to recharge an internal rechargeable battery and power internal alarm and distance-tracking circuitry. The detector provides a combination of backup alarm and hubodometer functionality in a common device.

A device capable of equipping a vehicle comprises: a first sensor placed on the side of the vehicle facing the entrance of the space, the sensor, which may be a lidar, makes distance and orientation measurements of said vehicle with respect to the space based on the reconstruction of a cloud of points belonging to the surface of said walls; a series of sensors placed on the lateral sides of the vehicle to measure the distance from the sides to the lateral walls of the parking space, these sensors possibly being ultrasound or optical; processing means calculating the position and the relative orientation of the vehicle with respect to the walls as a function of the measurements by the various sensors and as a function of the various parking phases.

A work machine control system includes a steering device configured to operate steering wheels of a work machine, a posture detector configured to detect a first azimuth as information on an orientation of the work machine, a steering angle detector configured to detect a steering angle of the steering device, an azimuth calculation unit configured to obtain a second azimuth of the work machine by using the steering angle detected by the steering angle detector, and a vehicle control unit configured to control the steering device by using either the first azimuth or the second azimuth, wherein the first azimuth or the second azimuth is switched to be transmitted to the vehicle control unit.

An electronic device and a method for generating personal mobility device-usage recommendations based on user activity tracking is provided. The electronic device monitors a first set of activities associated with a user. The electronic device determines first information indicating a first time period associated with the monitored first set of activities. The electronic device receives second information indicating a second time period associated with a usage of a personal mobility device to perform a second set of activities. The electronic device compares the determined first information with the received second information. The first set of activities are associated with the second set of activities. The electronic device further generates recommendations associated with the usage of the personal mobility device by the user, based on the comparison of the determined first information with the received second information. The electronic device controls a display device to display the generated recommendations.

The invention is intended for conserving energy expended by railway rolling stock, for instance by a locomotive when carrying out train operations and shunting, when trains are run in an automatic mode or in a train operator assistance mode. A method for increasing the efficiency of rolling stock includes the following steps: obtaining the parameters of the rolling stock, including at least the following: speed, coordinates, overhead system voltage, traction engine current voltage, brake line discharging; in addition, determining at least the dependence parameters of an active traction force, braking force, motion resistance force, force of wheel adherence to the rails, and the mass of the rolling stock; then, determining the optimal control to be carried out by traction and braking equipment of railway rolling stock based on the dependence parameters obtained during the previous step; then, transmitting the optimal control, determined during the previous step, to a rolling stock control system for implementation or for displaying to the train operator.

A method of providing an interactive personal mobility system, performed by one or more processors, comprises determining an initial pose by visual-inertial odometry performed on images and inertial measurement unit (IMU) data generated by a wearable augmented reality device. Sensor data transmitted from a personal mobility system is received, and sensor fusion is performed on the data received from the personal mobility system to provide an updated pose. Augmented reality effects are displayed on the wearable augmented reality device based on the updated pose.